Search and download GIF media from the Tenor API.
npx skills add https://github.com/Gitnapp/Skills --skill gif-search-gitnapp
Please help me install this Agent Skill. Skill: gif-search Source: https://github.com/Gitnapp/Skills/tree/main/media/gif-search Command: npx skills add https://github.com/Gitnapp/Skills --skill gif-search-gitnapp
This Skill simplifies the process of finding and retrieving GIFs by providing a direct way to search Tenor and obtain usable GIF URLs without manually browsing media libraries.
Use the gif-search skill to find and download a celebration GIF from Tenor using my API key.
High-intent search queries and answers about installing and using this skill.
To download a GIF from Tenor, you query the Tenor API endpoints using curl and process the media metadata with jq to retrieve usable GIF URLs. This requires setting a TENOR_API_KEY environment variable to authenticate and extract the direct media links.
Yes, you need a TENOR_API_KEY environment variable configured to search Tenor for GIFs. This API key authenticates your requests when querying the Tenor API endpoints to retrieve media metadata and downloadable GIF assets.
Retrieving Tenor GIF metadata requires curl to query API endpoints and jq to process the JSON media metadata. These command-line tools extract GIF titles, URLs, dimensions, and available media formats for downstream automated visual content workflows.
Yes, you can retrieve lightweight preview formats directly from Tenor search results instead of full GIF files. The Tenor API returns multiple available media formats, allowing you to extract previews or full GIF files based on your content creation needs.
Automated GIF retrieval works by querying the Tenor API with search terms to find relevant visual content for chat reactions and content creation. The process extracts GIF titles, URLs, and dimensions from the API metadata for immediate use in downstream workflows.
When querying the Tenor API with curl and jq, the available GIF metadata includes titles, direct URLs, dimensions, and available media formats. This metadata is extracted from the API endpoints and can be processed for automated visual content retrieval.
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